AI Proving Ground Podcast · 2026-07-18 · 30 min
AI agents are getting remarkably good at deciding what to do. The harder question is whether they should be allowed to do it. For the last year, Model Context Protocol (MCP) has been viewed as a way to connect AI models to tools. As enterprises move from copilots to autonomous agents, it's becoming something much bigger: the architectural layer that determines how agents access data, interact with systems and operate safely at scale. Brian Feldt sits down with WWT's David Geddam and Chandler Heath to explore why governance is becoming just as important as intelligence. From manufacturing and healthcare to finance, they examine how observability, identity, security and trust will shape the next generation of enterprise AI. Support for this episode provided by: SentinelOne David Geddam is Senior AI Advisor and Chief Solution Architect at WWT, where he helps organizations design the architectures behind enterprise AI. With more than 25 years of experience across healthcare, cloud and AI, he specializes in turning emerging technologies into secure, scalable solutions that work in the real world.
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